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What is RecallGraph?
RecallGraph is a graph data storage solution that keeps a detailed history of all modifications made to its data, including vertices and edges, allowing it to reflect its current status. It enables users to perform time-specific graph traversals, meaning they can access and query any previous version of the graph, in addition to the current one.
This system is particularly useful for scenarios where information is best depicted through interconnected edges and vertices (i.e., as a graph).
1. Each edge and vertex can hold various attributes in the format of key/value pairs, similar to JSON objects.
2. The documents representing edges and vertices can evolve over time, altering their individual attributes/values and their interconnections.
3. Preserving the historical context of documents is crucial, as past versions are as valuable as the present, necessitating a reliable way to maintain and access their change history.
In addition, this blog post provides a comprehensive introduction - https://blog.recallgraph.tech/never-lose-your-old-data-again, which further elaborates on the features and advantages of using RecallGraph.
What is PuppyGraph?
PuppyGraph enables users to seamlessly query one or more data sources through an integrated graph model. Unlike traditional graph databases, which can be expensive, require significant setup time, and demand a specialized team for upkeep, PuppyGraph streamlines the process. Many conventional systems can take hours to run multi-hop queries and struggle with managing datasets exceeding 100GB. Utilizing a separate graph database can complicate your architecture due to fragile ETL processes, which can ultimately raise the total cost of ownership (TCO). PuppyGraph, however, allows you to connect to any data source, irrespective of its location, facilitating cross-cloud and cross-region graph analytics without the need for cumbersome ETLs or data duplication. By directly integrating with your data warehouses and lakes, PuppyGraph empowers you to query your data as a graph while eliminating the hassle of building and maintaining extensive ETL pipelines commonly associated with traditional graph configurations. You can say goodbye to the delays in data access and the unreliability of ETL operations. Furthermore, PuppyGraph addresses scalability issues linked to graphs by separating computation from storage, which enhances efficient data management. Overall, this innovative solution not only boosts performance but also simplifies your overall data strategy, making it a valuable asset for any organization.
Integrations Supported
Amazon S3
Apache Iceberg
CFN Insight
Databricks
Docker
Elasticsearch
Google Cloud BigQuery
Google Sheets
Gremlin
IPFS
API Availability
Has API
API Availability
Pricing Information
https://recallgraph.tech/schedule
Free Version
Pricing Information
Free
Free Version
Free Trial Offered?
Supported Platforms
Windows
Mac
Linux
Supported Platforms
Windows
Mac
On-Prem
Linux
Customer Service / Support
Web-Based Support
Customer Service / Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
Training Options
Documentation Hub
Online Training
On-Site Training
Company Facts
Organization Name
RecallGraph
Date Founded
2020
Company Location
India
Company Website
recallgraph.tech/
Company Facts
Organization Name
PuppyGraph
Company Location
United States
Company Website
www.puppygraph.com
Categories and Features
Graph Databases
Not specified
Categories and Features
Graph Databases
Not specified
Query Engines
Not specified